| 2025 | AAAI | Testing Causal Models with Hidden Variables in Polynomial Delay via Conditional Independencies. | Hyunchai Jeong, Adiba Ejaz, Jin Tian, Elias Bareinboim |
| 2025 | AAAI | Counterfactual Identification Under Monotonicity Constraints. | Aurghya Maiti, Drago Plecko, Elias Bareinboim |
| 2025 | AAAI | Fairness-Accuracy Trade-Offs: A Causal Perspective. | Drago Plecko, Elias Bareinboim |
| 2025 | ICLR | Counterfactual Realizability. | Arvind Raghavan, Elias Bareinboim |
| 2025 | ICML | Automatic Reward Shaping from Confounded Offline Data. | Mingxuan Li, Junzhe Zhang, Elias Bareinboim |
| 2025 | ICML | Counterfactual Graphical Models: Constraints and Inference. | Juan D. Correa, Elias Bareinboim |
| 2025 | ICML | Causal Abstraction Inference under Lossy Representations. | Kevin Muyuan Xia, Elias Bareinboim |
| 2025 | UAI | Causal Eligibility Traces for Confounding Robust Off-Policy Evaluation. | Junzhe Zhang, Elias Bareinboim |
| 2024 | AAAI | Neural Causal Abstractions. | Kevin Xia, Elias Bareinboim |
| 2024 | AAAI | Scores for Learning Discrete Causal Graphs with Unobserved Confounders. | Alexis Bellot, Junzhe Zhang, Elias Bareinboim |
| 2024 | AAAI | Transportable Representations for Domain Generalization. | Kasra Jalaldoust, Elias Bareinboim |
| 2024 | AAAI | Towards Safe Policy Learning under Partial Identifiability: A Causal Approach. | Shalmali Joshi, Junzhe Zhang, Elias Bareinboim |
| 2024 | AAAI | Reconciling Predictive and Statistical Parity: A Causal Approach. | Drago Plecko, Elias Bareinboim |
| 2024 | ICLR | Causally Aligned Curriculum Learning. | Mingxuan Li, Junzhe Zhang, Elias Bareinboim |
| 2024 | ICML | Counterfactual Image Editing. | Yushu Pan, Elias Bareinboim |
| 2023 | AAAI | Causal Effect Identification in Cluster DAGs. | Tara V. Anand, Adle H. Ribeiro, Jin Tian, Elias Bareinboim |
| 2023 | ICLR | Causal Imitation Learning via Inverse Reinforcement Learning. | Kangrui Ruan, Junzhe Zhang, Xuan Di, Elias Bareinboim |
| 2023 | ICLR | Neural Causal Models for Counterfactual Identification and Estimation. | Kevin Muyuan Xia, Yushu Pan, Elias Bareinboim |
| 2023 | ICML | Estimating Joint Treatment Effects by Combining Multiple Experiments. | Yonghan Jung, Jin Tian, Elias Bareinboim |
| 2022 | CVPR | Causal Transportability for Visual Recognition. | Chengzhi Mao, Kevin Xia, James Wang, Hao Wang, Junfeng Yang, Elias Bareinboim, Carl Vondrick |
| 2022 | ICML | Counterfactual Transportability: A Formal Approach. | Juan D. Correa, Sanghack Lee, Elias Bareinboim |
| 2022 | ICML | On Measuring Causal Contributions via do-interventions. | Yonghan Jung, Shiva Prasad Kasiviswanathan, Jin Tian, Dominik Janzing, Patrick Blbaum, Elias Bareinboim |
| 2022 | ICML | Partial Counterfactual Identification from Observational and Experimental Data. | Junzhe Zhang, Jin Tian, Elias Bareinboim |
| 2021 | AAAI | Estimating Identifiable Causal Effects through Double Machine Learning. | Yonghan Jung, Jin Tian, Elias Bareinboim |
| 2021 | AAAI | Bounding Causal Effects on Continuous Outcome. | Junzhe Zhang, Elias Bareinboim |
| 2021 | ICML | Estimating Identifiable Causal Effects on Markov Equivalence Class through Double Machine Learning. | Yonghan Jung, Jin Tian, Elias Bareinboim |
| 2021 | KDD | Preface: The 2021 ACM SIGKDD Workshop on Causal Discovery. | Thuc Duy Le, Jiuyong Li, Gregory F. Cooper, Sofia Triantafyllou, Elias Bareinboim, Huan Liu, Negar Kiyavash |
| 2021 | KDD | The KDD 2021 Workshop on Causal Discovery (CD2021). | Thuc Duy Le, Jiuyong Li, Gregory F. Cooper, Sofia Triantafillou, Elias Bareinboim, Huan Liu, Negar Kiyavash |
| 2020 | AAAI | A Calculus for Stochastic Interventions: Causal Effect Identification and Surrogate Experiments. | Juan D. Correa, Elias Bareinboim |
| 2020 | AAAI | Estimating Causal Effects Using Weighting-Based Estimators. | Yonghan Jung, Jin Tian, Elias Bareinboim |
| 2020 | AAAI | Identifiability from a Combination of Observations and Experiments. | Sanghack Lee, Juan D. Correa, Elias Bareinboim |
| 2020 | AAAI | General Transportability - Synthesizing Observations and Experiments from Heterogeneous Domains. | Sanghack Lee, Juan D. Correa, Elias Bareinboim |
| 2020 | AMIA | Causal Inference from Observational Healthcare Data: Implications, Impacts and Innovations. | George Hripcsak, David M. Blei, Elias Bareinboim, Martijn J. Schuemie, Linying Zhang |
| 2020 | ICML | Efficient Identification in Linear Structural Causal Models with Auxiliary Cutsets. | Daniel Kumor, Carlos Cinelli, Elias Bareinboim |
| 2020 | ICML | Causal Effect Identifiability under Partial-Observability. | Sanghack Lee, Elias Bareinboim |
| 2019 | AAAI | Identification of Causal Effects in the Presence of Selection Bias. | Juan D. Correa, Jin Tian, Elias Bareinboim |
| 2019 | AAAI | Counterfactual Randomization: Rescuing Experimental Studies from Obscured Confounding. | Andrew Forney, Elias Bareinboim |
| 2019 | AAAI | Structural Causal Bandits with Non-Manipulable Variables. | Sanghack Lee, Elias Bareinboim |
| 2019 | ICML | Sensitivity Analysis of Linear Structural Causal Models. | Carlos Cinelli, Daniel Kumor, Bryant Chen, Judea Pearl, Elias Bareinboim |
| 2019 | ICML | Adjustment Criteria for Generalizing Experimental Findings. | Juan D. Correa, Jin Tian, Elias Bareinboim |
| 2019 | ICML | Causal Identification under Markov Equivalence: Completeness Results. | Amin Jaber, Jiji Zhang, Elias Bareinboim |
| 2019 | IJCAI | From Statistical Transportability to Estimating the Effect of Stochastic Interventions. | Juan D. Correa, Elias Bareinboim |
| 2019 | IJCAI | On Causal Identification under Markov Equivalence. | Amin Jaber, Jiji Zhang, Elias Bareinboim |
| 2019 | UAI | General Identifiability with Arbitrary Surrogate Experiments. | Sanghack Lee, Juan D. Correa, Elias Bareinboim |
| 2018 | AAAI | Generalized Adjustment Under Confounding and Selection Biases. | Juan D. Correa, Jin Tian, Elias Bareinboim |
| 2018 | AAAI | Fairness in Decision-Making - The Causal Explanation Formula. | Junzhe Zhang, Elias Bareinboim |
| 2018 | ICML | Budgeted Experiment Design for Causal Structure Learning. | AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash, Elias Bareinboim |
| 2018 | IJCAI | A Graphical Criterion for Effect Identification in Equivalence Classes of Causal Diagrams. | Amin Jaber, Jiji Zhang, Elias Bareinboim |
| 2018 | UAI | Causal Identification under Markov Equivalence. | Amin Jaber, Jiji Zhang, Elias Bareinboim |
| 2018 | UAI | Non-Parametric Path Analysis in Structural Causal Models. | Junzhe Zhang, Elias Bareinboim |
| 2017 | AAAI | Causal Effect Identification by Adjustment under Confounding and Selection Biases. | Juan D. Correa, Elias Bareinboim |
| 2017 | ICML | Identification and Model Testing in Linear Structural Equation Models using Auxiliary Variables. | Bryant Chen, Daniel Kumor, Elias Bareinboim |
| 2017 | ICML | Counterfactual Data-Fusion for Online Reinforcement Learners. | Andrew Forney, Judea Pearl, Elias Bareinboim |
| 2017 | IJCAI | Transfer Learning in Multi-Armed Bandits: A Causal Approach. | Junzhe Zhang, Elias Bareinboim |
| 2016 | IJCAI | Incorporating Knowledge into Structural Equation Models Using Auxiliary Variables. | Bryant Chen, Judea Pearl, Elias Bareinboim |
| 2015 | AAAI | Recovering Causal Effects from Selection Bias. | Elias Bareinboim, Jin Tian |
| 2014 | AAAI | Recovering from Selection Bias in Causal and Statistical Inference. | Elias Bareinboim, Jin Tian, Judea Pearl |
| 2013 | AAAI | Causal Transportability with Limited Experiments. | Elias Bareinboim, Judea Pearl |
| 2013 | AISTATS | Meta-Transportability of Causal Effects: A Formal Approach. | Elias Bareinboim, Judea Pearl |
| 2012 | AAAI | Transportability of Causal Effects: Completeness Results. | Elias Bareinboim, Judea Pearl |
| 2012 | UAI | Causal Inference by Surrogate Experiments: z-Identifiability. | Elias Bareinboim, Judea Pearl |
| 2011 | AAAI | Controlling Selection Bias in Causal Inference. | Elias Bareinboim, Judea Pearl |
| 2011 | AAAI | Transportability of Causal and Statistical Relations: A Formal Approach. | Judea Pearl, Elias Bareinboim |
| 2011 | ICDM | Transportability of Causal and Statistical Relations: A Formal Approach. | Judea Pearl, Elias Bareinboim |